the immiscible displacement of oil by water through a porous and permeable reservoir rock can be described by the use of a fractional flow curves (fw versus sw). water flooding project parameters can be obtained from the fractional flow curve. however, developing a representative fractional flow curve for a specific reservoir can be quite challenging when fluid and special core analysis data is...

This paper was selected for presentation by an SPE Program Committee following review of information contained in an abstract submitted by the author(s). Contents of the paper, as presented, have not been reviewed by the Society of Petroleum Engineers and are subject to correction by the author(s). The material, as presented, does not necessarily reflect any position of the Society of Petroleum...

The immiscible displacement of oil by water through a porous and permeable reservoir rock can be described by the use of a fractional flow curves (fw versus Sw). Water flooding project parameters can be obtained from the fractional flow curve. However, developing a representative fractional flow curve for a specific reservoir can be quite challenging when fluid and special core analysis data is...

Capacitance–resistance models (CRMs) are semi-analytical methods to estimate the production rate of either an individual producer or a group producers based on historical observed and injection rates using material balance signal correlations between injectors producers. Waterflood performance applied evaluate waterflooding effect forecast development index basis Buckley–Leverett displacement t...

Meltwater delivered to the bed of the Greenland Ice Sheet is a driver of variable ice-motion through changes in effective pressure and enhanced basal lubrication. Ice surface velocities have been shown to respond rapidly both to meltwater production at the surface and to drainage of supraglacial lakes, suggesting efficient transfer of meltwater from the supraglacial to subglacial hydrological s...

At the sub-meter scale, capillary retention occurs when two immiscible phases flow across heterogeneous media. It happens in upstream medium, and phase retained depends on heterogeneity order system wettability. This phenomenon has a major impact oil recovery hence requires comprehension. The analysis of spatial variation saturation along flowing domain is well established. However, literature ...

Physics-informed Neural Network (PINN) is a promising tool that has been applied in variety of physical phenomena described by partial differential equations (PDE). However, it observed PINNs are difficult to train certain “stiff” problems, which include various nonlinear hyperbolic PDEs display shocks their solutions. Recent studies added diffusion term the PDE, and an artificial viscosity (AV...

This paper presents the work of predicting oil production using machine learning methods. As a method, multiple linear regression algorithm with polynomial properties was implemented. Regression algorithms are suitable and workable methods for based on data-driven approach. The synthetic dataset obtained Buckley-Leverett mathematical model, which is used to calculate hydrodynamics determine sat...